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Open Access

Peer-reviewed

Research Article

Network Analysis of Breast Cancer Progression and Reversal Using a Tree-Evolving Network Algorithm

  • Ankur P. Parikh,

    Affiliation Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America

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  • Ross E. Curtis,

    Affiliation Lane Center for Computational Biology, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America

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  • Irene Kuhn,

    Affiliation Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America

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  • Sabine Becker-Weimann,

    Affiliation Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America

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  • Mina Bissell,

    Affiliation Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America

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  • Eric P. Xing ,

    epxing@cs.cmu.edu (EPX); weiwu2@cs.cmu.edu (WW)

    Affiliations Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America, Lane Center for Computational Biology, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America, Joint Carnegie Mellon University-University of Pittsburgh PhD Program in Computational Biology, Pittsburgh, Pennsylvania, United States of America

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  • Wei Wu

    epxing@cs.cmu.edu (EPX); weiwu2@cs.cmu.edu (WW)

    Affiliation Lane Center for Computational Biology, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America

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